Does the record mean what you expect?
Check required fields, types, currencies and units. Keep a displayed price distinct from a calculated total, and an observed fact distinct from an inference.
Custom Scraping
Inside a managed data project
How we work.
A response is not the same
as a reliable dataset.
Access is the starting point. The work is defining what to collect, checking what arrives and keeping the collection useful when the source changes.
01 / Define the agreement
Make “complete”
a testable requirement.
A dataset is complete relative to an agreed scope, not every record a platform might hold.
- Source & coverage
- Sites, permitted access, markets, locations, query boundaries and date ranges.
- Record definition
- Fields, identifiers, variants, normalization rules and how missing values are represented.
- Delivery & acceptance
- Refresh frequency, output format, destination and checks used to review the delivery.
- Operating boundaries
- Capacity, source limitations, change handling and any pilot or review work agreed separately.
02 / Check the collected data
Four questions behind the output.
Checks are selected for the source and agreed schema. No single check proves that every record is correct.
What is missing, or counted twice?
Compare collected records with the agreed source and query coverage. Use suitable identifiers to deduplicate without erasing genuine variants or locations.
Is the response usable data?
Detect errors, challenge pages and suspicious responses instead of treating an HTTP success as a completed collection. Apply cross-checks appropriate to the source.
When was this true?
Retain collection context and timestamps where agreed. Review count changes, missing fields and source changes before treating a new run as equivalent to an earlier one.
03 / Treat failure as information
A partial run should
not look complete.
Sources change. A useful maintenance agreement defines how issues are detected, communicated and addressed.
- 01
Recognize the change
Separate temporary failures from changed layouts, expired sessions, missing fields or new access restrictions.
- 02
Protect the delivery
Identify affected records and gaps. Agree whether to hold a delivery or provide a clearly identified partial result; do not silently replace missing values with guesses.
- 03
Repair and re-check
Update the collection where feasible, validate the affected output and discuss any rerun or backfill. Recovery scope and timing depend on the project and source.
04 / Source-specific access
Engineering expertise.
Clear limits.
Browser behavior, sessions, challenges and app traffic can all affect collection. We assess the access path before promising a delivery.
- Protected sourcesAnti-bot and CAPTCHA handling is assessed for each custom project. It is not a universal access guarantee.
- Authorized sessionsLogin-dependent work is limited to sources and accounts you are authorized to use, with credential handling agreed in scope.
- Web and app dataWe investigate suitable collection methods, including app interfaces where permitted. Data that cannot be reached reliably is a constraint to discuss.
- Self-service remains separateThe public-page Scraping API does not include custom login or CAPTCHA handling.
A concrete starting point
Bring your requirements.
We will review the fit.
Feasibility, available capacity, delivery expectations and pricing are agreed before a project is accepted.